1. Capture the meal
Start with a photo of your plate when you can. Natural light helps, and the whole plate in frame is better than a tight crop of one bite. No photo? Type a short description instead — for example “chicken bowl with rice and avocado” or “latte and croissant.” You can also skip the estimate entirely and enter calories by hand when you already know the number.
2. Chompino estimates
The AI looks at the photo or text and returns a ballpark calorie figure in seconds. It is guessing from visual and language cues, not weighing ingredients. That is why we call it a sniff, not a lab result. The goal is a useful starting point you can trust enough to log — then refine if something looks off.
3. Confirm, tweak, save
Before the meal lands in your day, you confirm the estimate. Add or remove calories if the sauce was heavier than it looked, or if the portion was larger. Once saved, favorites help you re-log common meals without starting from scratch every time.
Who this flow is for
Chompino is for people who want awareness without spreadsheet homework. If you need clinical precision, a dietitian and weighed ingredients still win. If you want a playful habit that keeps you moving, photo-first logging is the point. Read more about estimate accuracy and the full feature set.